Mar 7, 2013 · This approach provides a principled means for obtaining target tracks and alleviates the need for pruning, merging and clustering for the ...
The SMC-PHD filter uses the K-Means algorithm to extract target estimates. Fig. 3 reports the average OSPA distance as well as the cardinality and assignment ...
We discuss a connection between spatial branching processes and the PHD recursion based on conditioning principles for Poisson Point Processes.
Titre: Mean-field PHD filters based on generalized feynman-kac flow ; Auteur: Pace, Michele; Del Moral, Pierre ; Informations sur la publication: I E E E Journal ...
Mean-field PHD filters based on generalized Feynman-Kac flow. M Pace, P Del Moral. IEEE Journal of Selected Topics in Signal Processing 7 (3), 484-495, 2013.
This work presents a mean field particle theory for the numerical approximation of Feynman-Kac path integrals in the context of nonlinear filtering and ...
Mean-field particle methods are a broad class of interacting type Monte Carlo algorithms for simulating from a sequence of probability distributions
Pace et al. Mean-field PHD filters based on generalized Feynman–Kac flow. IEEE J. Sel. Top. Signal Process. (2013). O. Erdinc et al. The bin-occupancy filter ...
Mean-field PHD filters based on generalized Feynman-Kac flow. M. Pace & P. Del Moral. IEEE Journal of Selected Topics in Signal Processing. vol. 7, no. 3, pp.
Duration: 1:35
Posted: Jan 10, 2013
Posted: Jan 10, 2013